Is there a MATLAB accumarray equivalent in numpy?

Question

I\'m looking for a fast solution to MATLAB\'s accumarray in numpy. The accumarray accumulates the elements of an array which belong to the same index. An exampl

Answer 1

Not as good as the accepted answer but:

[np.sum([a[x] for x in y]) for y in [list(np.where(accmap==z)) for z in np.unique(accmap).tolist()]]

This takes 108us per loop (100000 loops, best of 3)

The accepted answer (np.bincount(accmap, weights=a) takes 2.05us per loop (100000 loops, best of 3)